Anonymized tweets - Urban data résilience in Teheran

Name: Anonymized tweets - Urban data résilience in Teheran
Creator: mendeley.com
License: Creative Commons Attribution (CC BY 4.0)

This dataset contains the anonymized tweet records and the complete Python analysis pipeline used in the study “Citizens, Safety, and Social Media: Leveraging Sentiment Analysis for Urban Resilience Governance in Tehran (2015–2024).” The shared data and code enable researchers to fully reproduce the sentiment analysis, temporal trend computation, and topic modeling procedures.

See the source

Download MD

Publishermendeley.com

AccessFile download

LicenseCreative Commons Attribution (CC BY 4.0)

Updated2026-06-26

urban resilience data science linear discriminant analysis sentiment analysis social media analytics

Community rating

—(0)0

Rate this resource directly from its page.

Your rating

Reading the source file…

See the 9 metadata fields

Identifier	10.17632/z9hyfgmw3w.1
Landing Page	https://data.mendeley.com/datasets/z9hyfgmw3w/1
Temporal	2015-01-01 to 2024-01-01
Keywords	Data Science; Linear Discriminant Analysis; Building Safety Risk Assessment
Access Account Required	No
Access Cost Type	Free
Pricing Model	free open access
Structuredness	Structured
Conforms To	DCAT-3; SourceCommons-SCF-0.1

Linked resources

Sources, tools, use cases and docs connected to this one.

Featured in lists

Geo-Social sentiment data